Rail Wireless Communication Signal Propagation Analysis
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Solution Overview
Problem
Existing vehicle communication systems face challenges in coordinating tractive and braking efforts due to unreliable wireless communication between locomotives, particularly in areas where signal propagation is hindered, leading to potential disruptions in train operations.
Innovation Solution
A method and system that determine wireless message characteristics and signal propagation profiles based on vehicle configurations and locations along a route, allowing for proactive planning and adjustment of operational settings to mitigate communication issues, such as scheduling commands ahead of poor communication segments and identifying optimal vehicle configurations for improved communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless communication is used between locomotives for coordinating tractive and braking efforts, then operational efficiency is improved, but communication reliability deteriorates in certain locations along the route
Solution Approach 1:
The system determines signal propagation profiles in advance by analyzing wireless message characteristics from previous trips. This preliminary action allows the system to identify poor communication areas before they occur, enabling proactive scheduling of commands and adjustments to operational settings to mitigate communication issues during upcoming trips.
Solution Approach 2:
The system uses feedback from previously logged communication issues and signal propagation data to improve future operations. By analyzing wireless message characteristics from past trips and incorporating this information into signal propagation profiles, the system can adapt its command scheduling and operational settings to account for known communication reliability issues in specific locations.
2Reliability
If communication issues are logged during trips, then communication reliability is monitored, but the information is not used proactively for upcoming trips
Solution Approach 1:
The system transforms post-trip communication issue logging into proactive preliminary action by determining signal propagation profiles in advance of upcoming trips. The analyzed wireless message characteristics and logged communication issues are used to predict and prepare for potential communication problems before they occur, enabling proactive command scheduling and operational adjustments.
Solution Approach 2:
The system establishes a feedback loop where communication issues logged during trips are analyzed and used to generate signal propagation profiles that inform future operations. This feedback mechanism ensures that historical communication reliability data is actively utilized to improve operational efficiency in upcoming trips by anticipating and mitigating potential communication issues.
Data Source
AI summary
Systems and methods for correlating wireless communication performance with vehicle system configurations determine wireless message characteristics of wireless messages communicated with vehicles in vehicle systems and locations along a route where the wireless message characteristics were determined. The wireless message characteristics and the locations can be determined during movement of the vehicle systems along a route. Relative positions of the vehicles in the vehicle systems is obtained, and a signal propagation profile is determined based on the wireless message characteristics, the locations where the wireless message characteristics were determined, and the relative positions of the vehicles. The signal propagation profile can represent relationships between the wireless message characteristics, the relative positions of the vehicles, and the locations along the route. This profile can be used to control movement and/or communication of other rail vehicle systems, to generate trip plans for other vehicle systems, to diagnose communication faults, and the like.


